HAAR Wavelet Transform and Gabor Features Fusion Based Iris Recognition

Iris recognition is used for identifying people based on unique patterns within the ring-shaped region surrounding the pupil of the eye. Since it makes use of biological characteristic, it is considered a form of biometric verification. Currently the iris recognition techniques allow very high recognition performances in controlled settings and with cooperating users. This provides iris an edge over other biometric traits like fingerprints. Most of the existing approaches for iris recognition are designed for images acquired in Near Infrared or Hyper-spectral regions, which are not much affected by changes in surrounding light conditions. Current research is focused on designing new techniques which aim to ensure high accuracy even on images that are captured in visible light. Iris classification aims to recognize and identify iris among many that are stored in database. Image registration for database includes- image pre-processing and feature extraction based on the texture. Feature extraction is done using fusion of haar wavelet transform and texton representation. The query image is processed using the same technique and iris matching process is done.